二、lucene2.4的增删改查及其查询语法

小灰灰 2022-03-16 00:48 183阅读 0赞

1、工程结构图

![1365725264_6336.png][]

2、排序的几种方式

![1365725321_1238.png][]0

3、增删改查索引

package cn.hj.lucene.dao;
    import java.io.IOException;
    import java.util.ArrayList;
    import java.util.HashMap;
    import java.util.List;
    import java.util.Map;
    import jeasy.analysis.MMAnalyzer;
    import org.apache.lucene.analysis.Analyzer;
    import org.apache.lucene.document.Document;
    import org.apache.lucene.document.NumberTools;
    import org.apache.lucene.index.IndexWriter;
    import org.apache.lucene.index.Term;
    import org.apache.lucene.index.IndexWriter.MaxFieldLength;
    import org.apache.lucene.queryParser.MultiFieldQueryParser;
    import org.apache.lucene.queryParser.QueryParser;
    import org.apache.lucene.search.Filter;
    import org.apache.lucene.search.IndexSearcher;
    import org.apache.lucene.search.Query;
    import org.apache.lucene.search.RangeFilter;
    import org.apache.lucene.search.ScoreDoc;
    import org.apache.lucene.search.Sort;
    import org.apache.lucene.search.SortField;
    import org.apache.lucene.search.TopDocs;
    import org.apache.lucene.search.highlight.Formatter;
    import org.apache.lucene.search.highlight.Fragmenter;
    import org.apache.lucene.search.highlight.Highlighter;
    import org.apache.lucene.search.highlight.QueryScorer;
    import org.apache.lucene.search.highlight.Scorer;
    import org.apache.lucene.search.highlight.SimpleFragmenter;
    import org.apache.lucene.search.highlight.SimpleHTMLFormatter;
    
    public class IndexDao {
    
    	String indexPath = "D:\\Workspaces\\lucenedemo\\luceneIndex";
    
    //	 Analyzer analyzer = new StandardAnalyzer();
    	Analyzer analyzer = new MMAnalyzer();// 词库分词
    
    	/**
    	 * 添加/创建索引
    	 * 
    	 * @param doc
    	 */
    	public void save(Document doc) {
    		IndexWriter indexWriter = null;
    		try {
    			indexWriter = new IndexWriter(indexPath, analyzer, MaxFieldLength.LIMITED);
    			indexWriter.addDocument(doc);
    		} catch (Exception e) {
    			throw new RuntimeException(e);
    		} finally {
    			try {
    				indexWriter.close();
    			} catch (Exception e) {
    				e.printStackTrace();
    			}
    		}
    	}
    
    	/**
    	 * Term是搜索的最小单位，代表某个 Field 中的一个关键词，如：<title, lucene>
    	 * 
    	 * new Term( "title", "lucene" );
    	 * 
    	 * new Term( "id", "5" );
    	 * 
    	 * new Term( "id", UUID );
    	 * 
    	 * @param term
    	 */
    	public void delete(Term term) {
    		IndexWriter indexWriter = null;
    		try {
    			indexWriter = new IndexWriter(indexPath, analyzer, MaxFieldLength.LIMITED);
    			indexWriter.deleteDocuments(term);
    		} catch (Exception e) {
    			throw new RuntimeException(e);
    		} finally {
    			try {
    				indexWriter.close();
    			} catch (Exception e) {
    				e.printStackTrace();
    			}
    		}
    	}
    
    	/**
    	 * 更新索引
    	 * 
    	 * <pre>
    	 * indexWriter.deleteDocuments(term);
    	 * indexWriter.addDocument(doc);
    	 * </pre>
    	 * 
    	 * @param term
    	 * @param doc
    	 */
    	public void update(Term term, Document doc) {
    		IndexWriter indexWriter = null;
    		try {
    			indexWriter = new IndexWriter(indexPath, analyzer, MaxFieldLength.LIMITED);
    			indexWriter.updateDocument(term, doc);
    		} catch (Exception e) {
    			throw new RuntimeException(e);
    		} finally {
    			try {
    				indexWriter.close();
    			} catch (Exception e) {
    				e.printStackTrace();
    			}
    		}
    	}
    
    	/**
    	 * <pre>
    	 * totalPage = recordCount / pageSize;
    	 * if (recordCount % pageSize > 0)
    	 * 	totalPage++;
    	 * </pre>
    	 * 
    	 * @param queryString
    	 * @param firstResult
    	 * @param maxResults
    	 * @return
    	 */
    	public QueryResult search(String queryString, int firstResult, int maxResults) {
    		try {
    			// 1，把要搜索的文本解析为 Query
    			String[] fields = { "name", "content" };
    			Map<String, Float> boosts = new HashMap<String, Float>();
    			boosts.put("name", 3f);//数字越到权重越高
    			// boosts.put("content", 1.0f); 默认为1.0f
    
    			QueryParser queryParser = new MultiFieldQueryParser(fields, analyzer, boosts);
    			Query query = queryParser.parse(queryString);
    
    			return search(query, firstResult, maxResults);
    		} catch (Exception e) {
    			throw new RuntimeException(e);
    		}
    	}
    
    	public QueryResult search(Query query, int firstResult, int maxResults) {
    		IndexSearcher indexSearcher = null;
    
    		try {
    			// 2，进行查询
    			indexSearcher = new IndexSearcher(indexPath);
    			Filter filter = new RangeFilter("size", NumberTools.longToString(200)
    					, NumberTools.longToString(1000), true, true);
    
    			// ========== 排序
    			Sort sort = new Sort();
    			sort.setSort(new SortField("size")); // 默认为升序
    			// sort.setSort(new SortField("size", true));
    			// ==========
    
    			TopDocs topDocs = indexSearcher.search(query, filter, 10000, sort);
    
    			int recordCount = topDocs.totalHits;
    			List<Document> recordList = new ArrayList<Document>();
    
    			// ============== 准备高亮器
    			Formatter formatter = new SimpleHTMLFormatter("<font color='red'>", "</font>");
    			Scorer scorer = new QueryScorer(query);
    			Highlighter highlighter = new Highlighter(formatter, scorer);
    
    			Fragmenter fragmenter = new SimpleFragmenter(50);
    			highlighter.setTextFragmenter(fragmenter);
    			// ==============
    
    			// 3，取出当前页的数据
    			int end = Math.min(firstResult + maxResults, topDocs.totalHits);
    			for (int i = firstResult; i < end; i++) {
    				ScoreDoc scoreDoc = topDocs.scoreDocs[i];
    
    				int docSn = scoreDoc.doc; // 文档内部编号
    				Document doc = indexSearcher.doc(docSn); // 根据编号取出相应的文档
    
    				// =========== 高亮
    				// 返回高亮后的结果，如果当前属性值中没有出现关键字，会返回 null
    				String hc = highlighter.getBestFragment(analyzer, "content", doc.get("content"));
    				if (hc == null) {
    					String content = doc.get("content");
    					int endIndex = Math.min(50, content.length());
    					hc = content.substring(0, endIndex);// 最多前50个字符
    				}
    				doc.getField("content").setValue(hc);
    				// ===========
    
    				recordList.add(doc);
    			}
    
    			// 返回结果
    			return new QueryResult(recordCount, recordList);
    		} catch (Exception e) {
    			throw new RuntimeException(e);
    		} finally {
    			try {
    				indexSearcher.close();
    			} catch (IOException e) {
    				e.printStackTrace();
    			}
    		}
    	}
    }

4、增删改查的测试

package cn.hj.lucene.dao;
    import org.apache.lucene.document.Document;
    import org.apache.lucene.index.Term;
    import org.junit.Test;
    import cn.hj.lucene.utils.File2DocumentUtils;
    public class IndexDaoTest {
    	String filePath = "D:\\Workspaces\\lucenedemo\\luceneDatasource\\IndexWriter addDocument's a javadoc .txt";
    	String filePath2 = "D:\\Workspaces\\lucenedemo\\luceneDatasource\\小笑话_总统的房间 Room .txt";
    
    	IndexDao indexDao = new IndexDao();
    
    	@Test
    	public void testSave() {
    		Document doc = File2DocumentUtils.file2Document(filePath);
    		doc.setBoost(3f);
    		indexDao.save(doc);
    
    		Document doc2 = File2DocumentUtils.file2Document(filePath2);
    		// doc2.setBoost(1.0f);
    		indexDao.save(doc2);
    	}
    
    	@Test
    	public void testDelete() {
    		Term term = new Term("path", filePath);
    		indexDao.delete(term);
    	}
    
    	@Test
    	public void testUpdate() {
    		Term term = new Term("path", filePath);
    
    		Document doc = File2DocumentUtils.file2Document(filePath);
    		doc.getField("content").setValue("这是更新后的文件内容");
    
    		indexDao.update(term, doc);
    	}
    
    	@Test
    	public void testSearch() {
    		// String queryString = "IndexWriter";
    		// String queryString = "房间";
    		// String queryString = "笑话";
    		String queryString = "room";
    		// String queryString = "content:绅士";
    		QueryResult qr = indexDao.search(queryString, 0, 10);
    
    		System.out.println("总共有【" + qr.getRecordCount() + "】条匹配结果");
    		for (Document doc : qr.getRecordList()) {
    			File2DocumentUtils.printDocument(doc);
    		}
    	}
    
    }

5、分页时所用到的bean

package cn.hj.lucene.dao;
    
    import java.util.List;
    import org.apache.lucene.document.Document;
    
    public class QueryResult {
    	private int recordCount;
    	private List<Document> recordList;
    
    	public QueryResult(int recordCount, List<Document> recordList) {
    		super();
    		this.recordCount = recordCount;
    		this.recordList = recordList;
    	}
    
    	public int getRecordCount() {
    		return recordCount;
    	}
    
    	public void setRecordCount(int recordCount) {
    		this.recordCount = recordCount;
    	}
    
    	public List<Document> getRecordList() {
    		return recordList;
    	}
    
    	public void setRecordList(List<Document> recordList) {
    		this.recordList = recordList;
    	}
    
    }

6、lucene的查询语法

package cn.hj.lucene.query;
    
    import org.apache.lucene.document.Document;
    import org.apache.lucene.document.NumberTools;
    import org.apache.lucene.index.Term;
    import org.apache.lucene.search.BooleanQuery;
    import org.apache.lucene.search.PhraseQuery;
    import org.apache.lucene.search.Query;
    import org.apache.lucene.search.RangeQuery;
    import org.apache.lucene.search.TermQuery;
    import org.apache.lucene.search.WildcardQuery;
    import org.apache.lucene.search.BooleanClause.Occur;
    import org.junit.Test;
    import cn.hj.lucene.dao.IndexDao;
    import cn.hj.lucene.dao.QueryResult;
    import cn.hj.lucene.utils.File2DocumentUtils;
    
    public class QueryTest {
    	IndexDao indexDao = new IndexDao();
    
    	/**
    	 * 查询并且打印结果
    	 * @param query
    	 */
    	private void queryAndPrintResult(Query query) {
    		QueryResult qr = indexDao.search(query, 0, 100);
    		System.out.println("总共有【"+qr.getRecordCount()+"】条匹配结果");
    		for(Document doc : qr.getRecordList()){
    			File2DocumentUtils.printDocument(doc);
    		}
    	}
    	/**
    	 * 关键字查询
    	 */
    	@Test
    	public void testTermQuery(){
    		Term term = new Term("name","room");
    		Query query = new TermQuery(term);
    		queryAndPrintResult(query);
    	}
    	
    	/**
    	 * 范围查询
    	 * 索引和搜索的时候搜索参数需要有一个相同的宽度
    	 * 包含边界：size:[0000000000001e TO 000000000000rs]
    	 * 
    	 * 不包含边界：size:{0000000000001e TO 000000000000rs}
    	 */
    	@Test
    	public void testRangeQuery() {
    		Term lowerTerm = new Term("size", NumberTools.longToString(50));
    		Term upperTerm = new Term("size", NumberTools.longToString(1000));
    		Query query = new RangeQuery(lowerTerm, upperTerm, false);
    
    		queryAndPrintResult(query);
    	}
    
    	// public static void main(String[] args) {
    	// System.out.println(Long.MAX_VALUE);
    	// System.out.println(NumberTools.longToString(1000));
    	// System.out.println(NumberTools.stringToLong("000000000000rs"));
    	//
    	// System.out.println(DateTools.dateToString(new Date(), Resolution.DAY));
    	// System.out.println(DateTools.dateToString(new Date(), Resolution.MINUTE));
    	// System.out.println(DateTools.dateToString(new Date(), Resolution.SECOND));
    	// }
    	/**
    	 * 通配符查询
    	 * 
    	 * '?' 代表一个字符， '*' 代表0个或多个字符
    	 * 
    	 * name:房*
    	 * 
    	 * name:*o*
    	 * 
    	 * name:roo?
    	 */
    	@Test
    	public void testWildcardQuery() {
    		Term term = new Term("name", "roo?");
    		// Term term = new Term("name", "ro*"); // 前缀查询 PrefixQuery
    		// Term term = new Term("name", "*o*");
    		// Term term = new Term("name", "房*");
    		Query query = new WildcardQuery(term);
    
    		queryAndPrintResult(query);
    	}
    
    	/**
    	 * 短语查询
    	 * 
    	 * content:"? 绅士 ? ? 饭店"
    	 * 
    	 * content:"绅士 饭店"~2
    	 */
    	@Test
    	public void testPhraseQuery() {
    		PhraseQuery phraseQuery = new PhraseQuery();
    		//表示饭店和绅士中间个两个词语隔(2,3),这个位置是相对的,只要中间隔两个即可
    		// phraseQuery.add(new Term("content", "绅士"), 1);
    		// phraseQuery.add(new Term("content", "饭店"), 4);
    
    		//现在我不知道查多少个，但是我知道大约查几个
    		phraseQuery.add(new Term("content", "绅士"));//第三个属性位置不填 ->
    		phraseQuery.add(new Term("content", "饭店"));//->默认是012345递增
    		//这个表示上面两个词最多中间隔了几个词
    		phraseQuery.setSlop(2);
    
    		queryAndPrintResult(phraseQuery);
    	}
    
    	/**
    	 * +content:"绅士 饭店"~2 -size:[000000000000dw TO 000000000000rs]
    	 * 
    	 * +content:"绅士 饭店"~2 +size:[000000000000dw TO 000000000000rs]
    	 * 
    	 * content:"绅士 饭店"~2 size:[000000000000dw TO 000000000000rs]
    	 * 
    	 * +content:"绅士 饭店"~2 size:[000000000000dw TO 000000000000rs]
    	 */
    	@Test
    	public void testBooleanQuery() {
    		// 条件1
    		PhraseQuery query1 = new PhraseQuery();
    		query1.add(new Term("content", "绅士"));
    		query1.add(new Term("content", "饭店"));
    		query1.setSlop(2);
    
    		// 条件2
    		Term lowerTerm = new Term("size", NumberTools.longToString(500));
    		Term upperTerm = new Term("size", NumberTools.longToString(1000));
    		Query query2 = new RangeQuery(lowerTerm, upperTerm, true);
    
    		// 组合
    		BooleanQuery boolQuery = new BooleanQuery();
    		boolQuery.add(query1, Occur.MUST);
    		boolQuery.add(query2, Occur.SHOULD);
    
    		queryAndPrintResult(boolQuery);
    	}
    
    	/**
    	 * 有+-的方式 +表示MUST -表示MUST_NOT  什么都不写表示SHOULD
    	 * 也有AND OR NOT的方式
    	 */
    	@Test
    	public void testQueryString() {
    		// String queryString = "+content:\"绅士 饭店\"~2 -size:[000000000000dw TO 000000000000rs]";
    		// String queryString = "content:\"绅士 饭店\"~2 AND size:[000000000000dw TO 000000000000rs]";
    		// String queryString = "content:\"绅士 饭店\"~2 OR size:[000000000000dw TO 000000000000rs]";
    		// String queryString = "(content:\"绅士 饭店\"~2 NOT size:[000000000000dw TO 000000000000rs])";
    //		String queryString = "-content:\"绅士 饭店\"~2 AND -size:[000000000000dw TO 000000000000rs]";
    //		String queryString = "-content:\"绅士 饭店\"~2 OR -size:[000000000000dw TO 000000000000rs]";
    		String queryString = "-content:\"绅士 饭店\"~2 NOT -size:[000000000000dw TO 000000000000rs]";
    
    		QueryResult qr = indexDao.search(queryString, 0, 10);
    		System.out.println("总共有【" + qr.getRecordCount() + "】条匹配结果");
    		for (Document doc : qr.getRecordList()) {
    			File2DocumentUtils.printDocument(doc);
    		}
    	}
    }

7、lucene的工具方法

package cn.hj.lucene.utils;
    import java.io.File;
    import java.io.IOException;
    import org.apache.commons.io.FileUtils;
    import org.apache.lucene.document.Document;
    import org.apache.lucene.document.Field;
    import org.apache.lucene.document.NumberTools;
    import org.apache.lucene.document.Field.Index;
    import org.apache.lucene.document.Field.Store;
    
    public class File2DocumentUtils {
    	
    	/**
    	 * 把文件内容转化为Document
    	 * @param path
    	 * @return
    	 */
    	public static Document file2Document(String path){
    		File file = new File(path);
    		Document doc = new Document();
    		doc.add(new Field("name",file.getName(),Store.YES,Index.ANALYZED));
    		try {
    		doc.add(new Field("content",FileUtils.readFileToString(file),Store.YES,Index.ANALYZED));
    		} catch (IOException e) {e.printStackTrace();}
    		doc.add(new Field("size",String.valueOf(path.length()),Store.YES,Index.NOT_ANALYZED));
    		doc.add(new Field("path",path,Store.YES,Index.NO));
    		return doc;
    	}
    	
    	/**
    	 * 打印搜索结果信息
    	 */
    	public static void printDocument(Document doc){
    		//第一种方式的获取值
    //		Field field = doc.getField("name");
    //		String name = field.stringValue();
    		//第二种方式的获取值
    		System.out.println("----------------------------------");
    		System.out.println("name    = "+doc.get("name"));
    		System.out.println("content = "+doc.get("content"));
    //		System.out.println("size    = "+doc.get("size"));
    		System.out.println("size    = "+NumberTools.stringToLong(doc.get("size")));
    		System.out.println("path    = "+doc.get("path"));
    	}
    }

工程代码： [http://download.csdn.net/detail/wxwzy738/5248905][http_download.csdn.net_detail_wxwzy738_5248905]

[1365725264_6336.png]: https://img-my.csdn.net/uploads/201304/12/1365725264_6336.png
[1365725321_1238.png]: https://img-my.csdn.net/uploads/201304/12/1365725321_1238.png
[http_download.csdn.net_detail_wxwzy738_5248905]: http://download.csdn.net/detail/wxwzy738/5248905